Data Architect at FNB South Africa

Job Description

• To support in the design, development and implementation of information and data architecture framework and principles to be adopted by the business and ensure technology components are aligned to deliver solutions within the data platform.

You will be an ideal candidate if you:

• Have 8+ years of experience in the Business Intelligence and/or Data space.
• Have solid experience as a Data Architect
• Have Banking experience in the South African market.
• Have a degree in Information Technology, Informatics or similar
• Have experience in SAS and SQL
• Have exposure to Teradata and/or AbInitio (advantageous)

Are you someone who can:

• Incorporate your knowledge of ETL design across various technologies including exception handling
• Map out current, future and transitional architectures to meet business objectives
• Apply data design principles across business pillars and provide holistic designs
• Produce consistently high-quality outputs within agreed deadlines
• Convert business requirements into databases, data warehouses, and data streams
• Research data acquisition opportunities and develop APIs to retrieve data

Additional Responsibilities will include:

• Good understanding of system landscape
• Knowledge of Information Management
• Understanding of advanced analytics techniques, technologies, standards and best practices as it relates to Data Architecture
• Knowledge of Master Data Management, Data Warehousing (different architectural approached) and BI
• Good understanding of system development
• Understanding of Agile methodologies, frameworks and practices and ability to apply
• Knowledge of Enterprise Architecture frameworks such as TOGAF, Zachman, etc.
• Design of efficient solutions to enable rapid deployment of advanced analytical solutions
• Data modeling and database design: ability to design and implement efficient and scalable data models to support business requirements.
• Data warehousing: knowledge of data warehousing concepts, methods and technologies to support data integration, data quality, data security and data governance.
• Big Data: knowledge of big data technologies, such as Hadoop, Spark, and NoSQL databases, to support the storage and processing of large data sets.
• Cloud computing: knowledge of cloud computing platforms, such as AWS, Azure, and GCP, to design and implement data solutions that leverage the cloud.
• Data governance and management: understanding of data governance policies, procedures, and standards to ensure data security, privacy and compliance.
• Data integration and ETL: expertise in data integration and ETL (extract, transform, load) processes to support the transfer of data from disparate sources to a central data repository.
• Data analytics and reporting: understanding of data analytics, reporting and business intelligence tools and technologies to support data-driven decision-making.
• Project management: knowledge of project management methodologies, such as Agile, Waterfall and DevOps, to lead and manage data architecture projects

End Date: September 10, 2025